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Alpha-modeling Strategy for LES of Turbulent Mixing

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Turbulent Flow Computation

Part of the book series: Fluid Mechanics and Its Applications ((FMIA,volume 66))

Abstract

The α-modeling strategy is followed to derive a new subgrid parameterization of the turbulent stress tensor in large-eddy simulation (LES). The LES-α modeling yields an explicitly filtered subgrid parameterization which contains the filtered nonlinear gradient model as well as a model which represents Leray-regularization. The LES-α model is compared with similarity and eddy-viscosity models that also use the dynamic procedure. Numerical simulations of a turbulent mixing layer are performed using both a second order, and a fourth order accurate finite volume discretization. The Leray model emerges as the most accurate, robust and computationally efficient among the three LES-α subgrid parameterizations for the turbulent mixing layer. The evolution of the resolved kinetic energy is analyzed and the various subgrid-model contributions to it are identified. By comparing LES-α at different subgrid resolutions, an impression of finite volume discretization error dynamics is obtained.

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Author information

Authors and Affiliations

  1. Faculty of Mathematical Sciences, University of Twente, P.O. Box 217, 7500 AE, Enschede, The Netherlands

    Bernard J. Geurts

  2. Theoretical Division and Center for Nonlinear Studies, Los Alamos National Laboratory, MS B284, Los Alamos, NM, 87545, USA

    Darryl D. Holm

Authors
  1. Bernard J. Geurts
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  2. Darryl D. Holm
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Editor information

Editors and Affiliations

  1. Department of Engineering, Queen Mary, University of London, London, UK

    D. Drikakis

  2. Faculty of Mathematical Sciences, University of Twente, Enschede, The Netherlands

    B.J. Geurts

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© 2002 Kluwer Academic Publishers

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Geurts, B.J., Holm, D.D. (2002). Alpha-modeling Strategy for LES of Turbulent Mixing. In: Drikakis, D., Geurts, B. (eds) Turbulent Flow Computation. Fluid Mechanics and Its Applications, vol 66. Springer, Dordrecht. https://doi.org/10.1007/0-306-48421-8_7

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  • DOI: https://doi.org/10.1007/0-306-48421-8_7

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-1-4020-0523-7

  • Online ISBN: 978-0-306-48421-6

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